The use of time-varying AR models for the characterization of voltage disturbances
Irene Yu‐Hua Gu, Math Bollen, Emmanouil Styvaktakis · 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077) · 2002
A signal-processing tool, autoregressive (AR) modeling, has been introduced to analyze disturbance measurement data from events, like voltage dips, capacitor switching and transformer energization. We show that time-varying AR models may be utilized for detecting sudden transitions of the signal by examining the models' residuals. We also show a potential way of detecting and describing signal transients, using the time-evolved AR model spectra. To examine the disturbances over the entire spectral range, a multiresolution disturbance analysis scheme is presented.